Topic: neural-network-compression Goto Github
Some thing interesting about neural-network-compression
Some thing interesting about neural-network-compression
neural-network-compression,Compact representations of convolutional neural networks via weight pruning and quantization
Organization: anacletolab
neural-network-compression,Tools and libraries to run neural networks in Minecraft :pick:
User: ashutoshbsathe
Home Page: https://git.io/scarpet-nn-docs
neural-network-compression,Use a meta-network to learn the importance and correlation of neural network weights
User: changanvr
neural-network-compression,Embedded and mobile deep learning research resources
User: csarron
neural-network-compression,This repository is for reproducing the results shown in the NNCodec ICML Workshop paper. Additionally, it includes a demo, prepared for the Neural Compression Workshop (NCW).
User: d-becking
neural-network-compression,Compressed CNNs for airplane classification in satellite images (APoZ-based parameter pruning, INT8 weight quantization)
User: daniel-rychlewski
neural-network-compression,Hyperspectral CNN compression and band selection
User: daniel-rychlewski
neural-network-compression,Masters Thesis Project https://davidturner94.github.com/nncompression
User: datur
neural-network-compression,[ICLR 2023] Pruning Deep Neural Networks from a Sparsity Perspective
User: diaoenmao
neural-network-compression,ESPN: Extreme Sparse Pruned Network
User: espn-neurips2020
neural-network-compression,Code for testing DCT plus Sparse (DCTpS) networks
User: ilanprice
neural-network-compression,Using Teacher Assistants to Improve Knowledge Distillation: https://arxiv.org/pdf/1902.03393.pdf
User: imirzadeh
neural-network-compression,Neural network compression with SVD
User: jaketae
neural-network-compression,Code for our WACV 2021 paper "Exploiting the Redundancy in Convolutional Filters for Parameter Reduction"
User: kkahatapitiya
neural-network-compression,Implementation of various neural network pruing methods in pytorch.
User: krishnkant-swarnkar
neural-network-compression,Neural Network Pruning Using Dependency Measures
Organization: michigancog
neural-network-compression,An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Organization: openvinotoolkit
Home Page: https://anomalib.readthedocs.io/en/latest/
neural-network-compression,Official PyTorch implementation of "Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming" (ICML'23)
Organization: snu-mllab
neural-network-compression,Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
User: taehyeonkim-pyomu
neural-network-compression,This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"
User: varungohil
Home Page: https://rescience.github.io/bibliography/Gohil_2020.html
neural-network-compression,
User: vi2enne
neural-network-compression,[ICLR 2022] "Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable", by Shaojin Ding, Tianlong Chen, Zhangyang Wang
Organization: vita-group
neural-network-compression,[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"
Organization: vita-group
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